Applications and technological challenges for heat recovery, …
This article provides a comprehensive state-of-the-art review of latent thermal energy storage (LTES) technology with a particular focus on medium-high temperature phase …
AI-mottagningLatent Document Re-Ranking
3 Latent Re -Ranking Framework In this section, we describe a novel document re - ranking method based on extracting the latent structure among the initial re trieval set and me a-suring the distance between queries and doc u-ments. 3.1 Problem Definition Let p = {@ 1,@ 2,å,@ J} denote the set of doc u-ments to be retrieved.
AI-mottagningSTELLAR: Spatial-Temporal Latent Ranking Model for ...
In this section, we first review the literature of latent ranking model. Then, we show the progress of POI recommendation. Finally, we present the connection of our proposed STELLAR model and the prior work. Latent Ranking Model. Latent ranking model is a popular solution for recommendation tasks and ranking tasks [19, 25]. In a recommendation ...
AI-mottagningAdvancing Latent Representation Ranking for Masked Graph
Advancing Latent Representation Ranking for Masked Graph Autoencoder Yulan Hu1,3, Ge Chen2, Sheng Ouyang 1, Zhirui Yang, Junchen Wan3, Fuzheng Zhang 3, Zhongyuan Wang,ZhaoCao 4, Shangquan Wu, and Yong Liu1(B) 1 Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China …
AI-mottagningMulti-Label Zero-Shot Human Action Recognition via Joint Latent Ranking ...
latent ranking embedding from visual and semantic domains. By using the learned joint latent ranking embedding, any vi-sual instances and any action labels can be mapped into the joint latent visual and semantic embedding spaces where posi-tive connections between visual instances and action labels rank ahead of negative ones.
AI-mottagning--《MatRank: Text Re-ranking by Latent Preference …
source：MatRank: Text Re-ranking by Latent Preference MatrixTL;DR：EMNLP2022。Matrank,,。 Introduction …
AI-mottagningLatent Graph Recurrent Network for Document Ranking
To solve this problem, we propose a graph recurrent neural network based model to refine word representations from BERT for document ranking, referred to as Latent Graph Recurrent Network (LGRe ...
AI-mottagningMedium‐ and high‐temperature latent heat thermal energy …
Latent heat thermal energy storage refers to the storage and recovery of the latent heat during the melting/solidification process of a phase change material (PCM). Among …
AI-mottagningA review of high temperature (≥ 500 °C) latent heat thermal …
Latent thermal energy storage systems using phase change materials are highly thought for such applications due to their high energy density as compared to their sensible …
AI-mottagningINDIA''S GOT LATENT (Bonus EP 3) ft. Samay Raina, Avika Gor, …
India''s Got latent Arush Laila episode 🔥 _ India''s Got latent updates _ Samay Raina Show clips - India''s Got latent Short Clips. VK CHILLIES. 36:07. India Got Latent Memebers Only Episode Arpit Bala. Tv Shows & Movies. 54:49.
AI-mottagningTermisk energilargring
Termisk energi kan lagras som sensibel eller latent (med fasförändringsmaterial- PCM) värme, eller med termokemiska metoder (med termokemiska värmelagringsmaterial- TCM), och kan …
AI-mottagningLatent Graph Recurrent Network for Document Ranking
BERT based ranking models are emerging for its superior natural language understanding ability. The attention matrix learned through BERT captures all the word relations in the input text. ... Latent Graph Recurrent Network for Document Ranking. In: Jensen, C.S., et al. Database Systems for Advanced Applications. DASFAA 2021. Lecture Notes in ...
AI-mottagningA Ranking Optimization Approach to Latent Linear Critiquing for ...
ranking-based LLC approach that instead optimizes latent embedding weights to achieve a desired rank order more directly optimizes the end recommendation task of re-ranking items based on critiquing feedback. We evaluate our proposed ranking-based LLC on two recommendation datasets containing user reviews. Empirical
AI-mottagning(PDF) Implicit readability ranking using the latent variable of a ...
PDF | On Dec 11, 2016, Johan Falkenjack and others published Implicit readability ranking using the latent variable of a Bayesian Probit model | Find, read and cite all the research you need on ...
AI-mottagningSTELLAR: Spatial-Temporal Latent Ranking for Successive Point …
To capture the impact of time on successive POI recommendation, in this paper, we propose a spatial-temporal latent ranking (STELLAR) method to explicitly model the interactions among user, POI ...
AI-mottagningInfinite Latent Feature Selection: A Probabilistic Latent Graph …
arXiv:1707.07538v1 [cs.CV] 24 Jul 2017 Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach Giorgio Roffo University of Glasgow Simone Melzi University of Verona Umberto Castellani University of Verona [email protected] Simone.Melzi@univr Umberto.Castellani@univr Alessandro Vinciarelli University of …
AI-mottagningLatent Relational Metric Learning via Memory-based Attention for ...
Latent Relational Metric Learning via Memory-based A ention for Collaborative Ranking ''18, April 2018, Lyon, France BPR MLP MF NEUMF CML LRML H@10 nDCG@10 H@10 nDCG@10 H@10 nDCG@10 H@10 nDCG ...
AI-mottagningLatent Relational Metric Learning via Memory-based Attention for ...
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking 2018, April 23–27, 2018, Lyon, France adverse repercussions when the dataset is large or dense since CML tries to force all of a user''s item interactions onto the same point.
AI-mottagningMulti-criteria analysis using latent class cluster ranking: An ...
Ranking of clusters of objects is completed using the extracted latent variables. We apply the methodology to evaluate the resiliency of e-commerce companies using balanced scorecard performance ...
AI-mottagningLatent thermal energy storage technologies and applications: A …
Latent heat thermal energy storage (LHTES) based on phase change material (PCM) plays a significant role in saving and efficient use of energy, dealing with mismatch …
AI-mottagningReal Estate Ranking via Mixed Land-use Latent Models
patterns. In this way we can learn latent community func-tions and the corresponding portfolios of estates from human mobility data and Point of Interest (POI) data. Then, we learn the estate ranking indicator by simultaneously max-imizing ranking consistency and functional diversity, in a unified probabilistic optimization framework. Finally, we
AI-mottagningLatent Structure Models for Ranking Data | SpringerLink
In this paper several latent structure models for analyzing data that consist of complete or incomplete rankings are discussed. First, attention is given to some latent class extensions of the Bradley-Terry-Luce model for ranking data. Next, various latent class...
AI-mottagningReal Estate Ranking via Mixed Land-use Latent Models
This paper develops a geographical function ranking method, named FuncDivRank, by incorporating the functional diversity of communities into real estate appraisal, and conducts a comprehensive evaluation with real-world data. Mixed land use refers to the effort of putting residential, commercial and recreational uses in close proximity to one another. This …
AI-mottagningAdvancing Latent Representation Ranking for Masked Graph
GMAERank presents a novel ranking strategy that leverages the latent representation. Specifically, GMAERank posits that the similarity between two augmented latent views should consistently outrank that between any augmented view and an unrelated random view-a condition typically achievable. Subsequently, GMAERank focus on the optimization of ...
AI-mottagningA comprehensive review of latent heat energy storage for various ...
Latent heat energy storage (LHES) offers high storage density and an isothermal condition for a low- to medium-temperature range compared to sensible heat storage. The …
AI-mottagningVisual exploration of latent ranking evolutions in time series
of latent ranking evolutions: generation, visualization and elaboration of the ranking time series. Our approach first extracts relations of ranked items according to ranking time series, capturing concurrent ranked items. We then visualize the concurrency and the independence of the ranked items at each indi-
AI-mottagningThermal energy storage cost and efficiency 2024 | Statista
2 · Key figures and rankings about companies and products. Consumer & Brand reports ... the cost of this type of high-temperature thermal energy storage was higher than sensible and …
AI-mottagningGlobal prospects and challenges of latent heat thermal ...
Latent heat thermal energy storage (LHTES) systems are very potent to address the environmental issues fostering sustainable development, while being able to …
AI-mottagningA Ranking Optimization Approach to Latent Linear Critiquing for ...
Request PDF | On Sep 22, 2020, Hanze Li and others published A Ranking Optimization Approach to Latent Linear Critiquing for Conversational Recommender Systems | Find, read and cite all the ...
AI-mottagningLatent Relational Metric Learning via Memory-based Attention for ...
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking Yi Tay Nanyang Technological University Singapore [email protected] .sg Luu Anh Tuan Institute for Infocomm Research Singapore [email protected] .sg Siu Cheung Hui Nanyang Technological University Singapore asschui@ntu .sg ABSTRACT
AI-mottagningJoint latent space models for ranking data and social network
Request PDF | Joint latent space models for ranking data and social network | Human interaction and communication has become one of the essential features of social life. Individuals'' preference ...
AI-mottagningUniversity Rankings and League Tables 2025
Explore our 2025 league tables. Ranking the best universities in the UK, overall and in 74 subject areas. Knowing how best to choose your future university can be tough. Our league tables can help by showing you the top universities in the UK and allowing you to sortthem by what''s important to you. See the university rankings for your chosen ...
AI-mottagningThermal Storage: From Low-to-High-Temperature Systems
At Fraunhofer ISE, storage systems are developed from material to component to system level. Sensible, latent, and thermochemical energy storages for different …
AI-mottagningInfinite Latent Feature Selection: A Probabilistic Latent Graph …
Feature selection is playing an increasingly significant role with respect to many computer vision applications spanning from object recognition to visual object tracking. However, most of the recent solutions in feature selection are not robust across different and heterogeneous set of data. In this paper, we address this issue proposing a robust probabilistic latent graph-based feature ...
AI-mottagningInfinite Latent Feature Selection: A Probabilistic Latent Graph …
A Probabilistic Latent Graph-Based Ranking Appr oach. Giorgio Roffo. University of Glasgo w. [email protected]. Simone Melzi. University of V erona. Simone.Melzi@univr . Umberto ...
AI-mottagningExploring Latent Bundles from Social Behaviors for Personalized Ranking
SSB-Ranking is able to capture the latent bundle relationships by modeling users'' ''also-brought'' behaviors as well as gains from a fully personalized Markov chains with higher orders. As such, it beats FPMC in all settings significantly especially in related item recommending scenarios to capture personal style, and makes the better ...
AI-mottagningSTELLAR: Spatial-Temporal Latent Ranking Model for …
This chapter proposes a spatial-temporal latent ranking (STELLAR) method to explicitly model the interactions among user, POI, and time and demonstrates that the STELLAR model outperforms state-of-the-art successive POI recommendation model about 20% in Precision@5 and Recall@5. Successive POI recommendation in LBSNs becomes a significant task since it helps users to …
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